Raabe, A., Reynolds, J., Kukudala, A., & Ashqar, H. (2022). The Effect of Funding on Student Achievement: Evidence from District of Columbia, Virginia, and Maryland. Department of Data Science, University of Maryland Baltimore County. https://github.com/araabe2/Data-601-Group-Project
This research analyzes the relationship between school funding and student achievement, specifically focusing on graduation rates, unemployment, and per-pupil spending in Maryland, Virginia, and Washington D.C. The authors investigate whether unemployment rates are a stronger predictor of graduation rates than per-pupil spending.
The study utilizes publicly available data from the US Bureau of Labor Statistics, County Health Rankings & Roadmaps, and the US Census Bureau. The researchers focus on data from 2015 to 2018, employing linear regression analysis to examine the relationships between graduation rates, unemployment rates, and per-pupil spending.
The study reveals a statistically significant negative correlation between unemployment rates and graduation rates. For every one percentage point increase in unemployment, there is a two percentage point decrease in the graduation rate. Conversely, the analysis did not find a statistically significant relationship between per-pupil spending and graduation rates.
The authors conclude that unemployment rates are a stronger predictor of high school graduation rates than per-pupil school spending in the studied regions. They suggest that investing in initiatives that address unemployment and enhance overall quality of life might be more effective in improving educational outcomes than solely increasing school funding.
This research contributes valuable insights into the ongoing debate surrounding the impact of school funding on student achievement. It highlights the importance of considering broader socioeconomic factors, particularly unemployment, when formulating policies aimed at improving graduation rates.
The study acknowledges limitations, including data inconsistencies and a limited geographical scope. Future research could explore additional academic success indicators, incorporate a wider range of socioeconomic variables, and expand the analysis to encompass a larger and more diverse population.
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